ArticleJournal of intensive care2021
Ultrafiltration in Japanese critically ill patients with acute kidney injury on renal replacement therapy.
Article in Journal of intensive care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05306964 (REstrictive Versus LIberal Rate of Extracorporeal Volume Removal Evaluation in Acute Kidney Injury), which is not on this map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
REstrictive Versus LIberal Rate of Extracorporeal Volume Removal Evaluation in Acute Kidney Injury
Who cites it
2 citing papers in PubMed.
- Precision net ultrafiltration dosing in continuous kidney replacement therapy: a practical approach.Intensive care medicine experimental · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A recent worldwide survey indicates an international diversity in net ultrafiltration (UF
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.